OPT OpenIR  > 光学影像学习与分析中心
Multiview clustering via adaptively weighted procrustes
Nie, Feiping1; Tian, Lai1; Li, Xuelong2
2018-07-19
Conference Name24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2018
Source PublicationKDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Pages2022-2030
Conference Date2018-08-19
Conference PlaceLondon, United kingdom
PublisherAssociation for Computing Machinery
Contribution Rank2
Abstract

In this paper, we make a multiview extension of the spectral rotation technique raised in single view spectral clustering research. Since spectral rotation is closely related to the Procrustes Analysis for points matching, we point out that classical Procrustes Average approach can be used for multiview clustering. Besides, we show that direct applying Procrustes Average (PA) in multiview tasks may not be optimal theoretically and empirically, since it does not take the clustering capacity differences of different views into consideration. Other than that, we propose an Adaptively Weighted Procrustes (AWP) approach to overcome the aforementioned deficiency. Our new AWP weights views with their clustering capacities and forms a weighted Procrustes Average problem accordingly. The optimization algorithm to solve the new model is computational complexity analyzed and convergence guaranteed. Experiments on five real-world datasets demonstrate the effectiveness and efficiency of the new models. © 2018 Association for Computing Machinery.

Department光学影像学习与分析中心
DOI10.1145/3219819.3220049
Indexed ByEI
ISBN9781450355520
Language英语
EI Accession Number20183405705515
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30576
Collection光学影像学习与分析中心
Affiliation1.School of Computer Science, Center for OPTIMAL, Northwestern Polytechnical University, Xi'an, China;
2.Center for OPTIMAL Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China
Recommended Citation
GB/T 7714
Nie, Feiping,Tian, Lai,Li, Xuelong. Multiview clustering via adaptively weighted procrustes[C]:Association for Computing Machinery,2018:2022-2030.
Files in This Item:
File Name/Size DocType Version Access License
Multiview clustering(700KB)会议论文 开放获取CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Nie, Feiping]'s Articles
[Tian, Lai]'s Articles
[Li, Xuelong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Nie, Feiping]'s Articles
[Tian, Lai]'s Articles
[Li, Xuelong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Nie, Feiping]'s Articles
[Tian, Lai]'s Articles
[Li, Xuelong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.